Summary
Leonardo S is an Information Technology Analyst with a decade of experience delivering data and backend solutions for banking and public-sector clients, currently embedded at Banco do Brasil via IBM. He has progressed from application development—building Go APIs, web scrapers and deploying services with Kubernetes—to data science work on financial time series anomaly detection and now to production data engineering using Datastage and PySpark. Comfortable across the stack, he combines practical ETL and deployment know-how with research-driven experimentation, having implemented low-level PDF extraction and NLP models during university research. Curious about AI and data science, he balances hands-on implementation with continuous learning and a pragmatic focus on turning complex financial data into reliable production workflows.
9 years of coding experience
3 years of employment as a software developer
Colégio Militar de Brasília
Bachelor of Technology - BTech, Data Processing and Data Processing Technology/Technician, Associate Degree, Bachelor of Technology - BTech, Data Processing and Data Processing Technology/Technician, Associate Degree at Universidade Federal de Mato Grosso do Sul
Bacharelado, Computer Science, IRA: 4.2473 MP: 4.1146, Bacharelado, Computer Science, IRA: 4.2473 MP: 4.1146 at Universidade de Brasília
English